Researchers at Massachusetts General Hospital (MGH) have come up with a new technique based on artificial intelligence and machine learning that allows clinicians to acquire higher quality images without having to collect additional data. In a paper appearing in the journal Nature, this technique is referred to as AUTOMAP (Automated Transform By Manifold Approximation).
According to a study, “take-home” robots could be instrumental in helping patients recover from illness in their home environment.
After being discharged from the hospital, a robot could help patients with Chronic Obstructive Pulmonary Disease (COPD) manage their condition.
The Journal of Medical Internet Research reported that socially assistive robots can help patients stick to their medication and exercises. The test was conducted with patients suffering from COPD.
Cardiovascular disease is the leading cause of death in the world. But now Google has developed an artificial intelligence software that can come close to predicting a person’s risk of heart attack just by looking into their eyes.
This week, a group of researchers published a new study that demonstrates how a novel brain imaging technique can identify people who have suicidal thoughts, simply by presenting them with certain key words, asking them to reflect on their meanings, and using machine learning to analyze that brain activity.
The results of the study, published in the journal Nature Human Behaviour, challenge the common stereotype that suicidal people could change their perspective if they exerted more effort; the data suggests that suicidal feelings and thoughts are deeply intertwined with the way the brain processes information.
“Suicidality isn’t that you can’t cope with life; it’s that you’ve somehow gotten into a pattern of thinking that leads you to consider suicide,” states Marcel Just, a cognitive neuroscientist and the study’s lead author, and a professor of psychology at Carnegie Mellon University.
The use of artificial intelligence and machine learning is altering the face of medicine, with the potential to help improve overall medical diagnosis in an enormous way.